
'''simple docstring'''



from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Sequence, Value
from .base import TaskTemplate




@dataclass(frozen=_SCREAMING_SNAKE_CASE					)
class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						_lowercase						: str										=  field(default='''question-answering-extractive'''			,				metadata={'''include_in_asdict_even_if_is_default''': True}					)
						_lowercase						: ClassVar[Features]										=  Features({'''question''': Value('''string'''					), '''context''': Value('''string'''					)}					)
						_lowercase						: ClassVar[Features]										=  Features(
						    {
						        '''answers''': Sequence(
						            {
						                '''text''': Value('''string'''					),
						                '''answer_start''': Value('''int32'''					),
						            }					)
						    }					)
						_lowercase						: str										=  "question"
						_lowercase						: str										=  "context"
						_lowercase						: str										=  "answers"




						@property
						def    _lowercase      (   self ):

												"""simple docstring"""



												return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}





'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


SCREAMING_SNAKE_CASE__     :						Optional[Any]	=  logging.get_logger(__name__)

class 							a__( snake_case__     ):






			def __init__(     self					,   *_UpperCAmelCase					,   **_UpperCAmelCase						)							->							None:
					warnings.warn(
					    'The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
					    ' use GLPNImageProcessor instead.'					,   _UpperCAmelCase					,   )
					super().__init__(*_UpperCAmelCase					,   **_UpperCAmelCase						)




